Automated Resource Closing in Source Code
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Solution Overview
Problem
Software developers often overlook closing resources in source code, leading to inefficient use of computing resources, and existing tools either impose restrictions or have a learning curve and do not address previously written code effectively.
Innovation Solution
A method involving a code transformation module and a resource monitoring module that modifies source code to ensure resources are closed at the end of each method, with monitoring during execution to update references and handle exceptions, repeating the process until no issues arise.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If developers manually ensure resources are closed in source code, then resource management is reliable, but this increases the complexity and time required for code writing and maintenance
Solution Approach 1:
The system performs self-service by automatically analyzing source code to identify unclosed resources and generating the necessary closing statements without requiring developer intervention. The code transformation module autonomously modifies the source code to include proper resource closing statements, eliminating the need for developers to manually track and close resources.
Solution Approach 2:
The patent replaces the manual mechanical process of developers tracking and closing resources with an automated computational system. The resource monitoring module tracks resource openings and the code transformation module automatically generates closing statements, substituting human effort with an automated code analysis and transformation system.
2Reliability
If existing tools are used to help developers remember to close resources, then future code can be improved, but these tools impose restrictions on developers and require a learning curve
Solution Approach 1:
The system requires no developer interaction or learning as it autonomously analyzes existing source code, identifies unclosed resources, and generates appropriate closing statements. The tool serves itself by automatically transforming code without imposing restrictions or requiring developers to adapt their coding patterns.
Solution Approach 2:
The system performs preliminary analysis of the source code to identify all resource opening operations before generating the corresponding closing statements. This preliminary action allows the system to proactively fix resource management issues in existing code without requiring developers to rewrite or restructure their code.
3Reliability
If existing tools are used to address resource closing, then future code can be improved, but previously written source code that omits proper resource closing instructions remains unaffected
Solution Approach 1:
The system performs preliminary analysis on existing source code to identify unclosed resources before execution. By analyzing the code structure and resource opening operations in advance, the system generates appropriate closing statements that are inserted into the modified source code, making previously written code adaptable to proper resource management.
Solution Approach 2:
The patent replaces the limitation of existing tools that only affect future code with a system that retroactively analyzes and transforms existing source code. The code transformation module substitutes manual code review and rewriting by automatically identifying and fixing resource management issues in previously written code.
4Productivity
If resources are not properly closed, then code can be written quickly, but this leads to inefficient use of computing resources and performance degradation
Solution Approach 1:
The system replaces the trade-off between quick code writing and proper resource management by automatically analyzing source code to identify unclosed resources and generating closing statements. This computational approach eliminates the need for developers to manually balance speed versus resource management, as the automated system handles resource tracking and closing statement generation.
Solution Approach 2:
The system performs self-service by autonomously identifying resource management issues and generating appropriate closing statements without requiring developers to slow down their coding process. The resource monitoring and code transformation occur automatically, maintaining developer productivity while ensuring proper resource management.
Data Source
AI summary
A method performed by a computing system includes: with a resource monitoring module, providing to a code transformation module, a set of references to methods within a source code, the methods comprising code associated with a resource, with the code transformation module, creating a modified source code by inserting new code into the source code, the new code to close the resource at the end of each method referenced by the set of references, compiling the modified source code to create an application, with the resource monitoring module, during execution of the application, determining that an exception has occurred as a result of an attempt to access the resource when the resource is closed, and with the resource monitoring module, updating the set of references to include a new reference to a new method, the new method corresponding to the exception.